Identifying the specific lipid biomarkers and LYPLA1 as a novel candidate in intramuscular fat deposition of Erhualian pigs

Our findings identify specific lipids associated with IMF accumulation in both skeletal muscle and subcutaneous adipose depots, thereby offering valuable insights into the lipid composition of porcine IMF and new avenues for targeted IMF deposition.

Authors

Institutions

Publication Details

Journal
BMC Genomics
Published
2025-04-25
DOI
https://doi.org/10.1186/s12864-025-11611-z
Citations
1
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
1.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying the specific lipid biomarkers and LYPLA1 as a novel candidate in intramuscular fat deposition of Erhualian pigs

Jiayu Yan, Wenjing Meng, Lifan Zhang, Xiangfei Ma et al.
1 citations
BMC Genomics
Adipose Tissue and Metabolism
1.16
article

Identifying the specific lipid biomarkers and LYPLA1 as a novel candidate in intramuscular fat deposition of Erhualian pigs

Jiayu Yan, Wenjing Meng, Lifan Zhang, Xiangfei Ma, Wei Wei, Jie Chen, Yuelei Zhao, Zijian Ye
article en
1 citations

Abstract

Our findings identify specific lipids associated with IMF accumulation in both skeletal muscle and subcutaneous adipose depots, thereby offering valuable insights into the lipid composition of porcine IMF and new avenues for targeted IMF deposition.

BMC GenomicsVol. 26(1)
Nanjing Agricultural University (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Zero hunger
Openalex Percentile: Top 23%
Adipose Tissue and Metabolism
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.